Age-Optimal Network Coding HARQ Transmission Scheme for Dual-Hop Satellite-Integrated Internet

Jiao, Jian; Liu, Shiqi; Ding, Jing; Huang, Jianhao; Wu, Shaohua; Lu, Rongxing; Zhang, Qinyu

doi:10.1109/tvt.2022.3186034

Cited by 9 publications

(8 citation statements)

References 32 publications

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“…Motivated by the effectiveness of AoI on capturing the freshness of status updates in terrestrial networks, some works have turned to characterize the S-IoT. The works of Ding et al [26][27][28] pointed out that in upcoming S-IoT, a noted limitation is the non-trivial propagation latency due to the long distances and complicated environment between satellite and terrestrial devices. This fact causes the high packet error probability and multiple retransmissions of lost packets are required to guarantee the reliable transmission of data packets, which significantly decreases the freshness of status updates.…”

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confidence: 99%

“…This fact causes the high packet error probability and multiple retransmissions of lost packets are required to guarantee the reliable transmission of data packets, which significantly decreases the freshness of status updates. In order to improve the traditional hybrid automatic repeat request (HARQ), the work of Ding et al [26][27][28] proposed a network coding-based HARQ policy by using the cardinal two-hope model. Li et al 29 investigated the age-optimal HARQ design for freshness-critical S-IoT system by specially considering the propagation delay from satellite to terrestrial IoT devices.…”

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confidence: 99%

“…In fact, in the T-IoT systems, to enhance the freshness, there are a large of works that investigated the improvement on retransmission policy. [33][34][35] In addition, for the S-IoT systems, while the aforementioned works exploited the effect of HARQ (ARQ) protocol on the freshness of status updates, [26][27][28][29][30] the work of Najm et al 36 proved that from an age point of view, the infinite incremental redundancy (IIR) HARQ is better than the fixed redundancy (FR) HARQ. In the work of Devassy et al, 37 the combination scheme of the simple ARQ and HARQ was proposed and the delay and peak AoI were investigated.…”

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confidence: 99%

“…To overcome this problem, some early works have attempted to exploit the improvement on HARQ (or ARQ) under the S-IoT scenario. The works of Ding et al 26,27 proposed a network code (NC) HARQ transmission strategy to achieve limited or no feedback dual (multi)-hop transmission in the satellite communication scenario. Simulation results showed that the proposed NC-HARQ strategy achieves lower average AoI compared with the state-of-the-art HARQ strategies.…”

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confidence: 99%

“…The simulation results indicated that the combination of erasure-correction codes and relative lossy error-correction codes achieves AoI-improvement over the ultra-reliable PHY-only coding scheme. Besides the above schemes, [26][27][28]32 exploiting layercoded HARQ (L-HARQ) is another promising candidate to address the severe degeneration of both the timeliness and throughput in the S-IoT systems. 40 Instead of transmitting the same packet in all retransmitting rounds, the L-HARQ policy transmits a mixing packet, which consists of the previously failed decoding packet and the new packet.…”

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confidence: 99%

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Age of error information and throughput for truncated and layer‐coded HARQ‐based satellite‐IoT systems

Zhao,

Jia,

Xie

et al. 2023

Int J Communication

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SummaryThe work focuses on the simultaneous improvement on the throughput and information freshness of the promising satellite‐based Internet of Things (S‐IoT). To this end, we first propose a method based on the adaptive modulation coding (AMC) and truncated layer‐coded hybrid automatic repeat request (L‐HARQ) strategies by especially considering the difference in the channel state information (CSI) between the transmitter and receiver. On account of the large signal delay of the S‐IoT systems, this paper establishes the channel model based on the correlation of the signal‐to‐noise ratio (SNR) under the outdated channel and the ideal channel. Secondly, considering the fact that the improved backtrack decoding is used in the L‐HARQ, the classical definition of age of information (AoI) is insufficient to quantify the status update freshness, we propose the age of error information (AoEI), which is defined as the elapsed time since the generation of the lastly successfully backtrack‐decoded status update. Thirdly, we characterize the statistical descriptions of the maximum wait time of the successfully recovered status updates and the interdeparture time between the two consecutive status update packets that are lastly successfully received. Then, the closed‐form expression of average AoEI is derived under the assumption of independent and identically distributed fading channels. Finally, the Markov decision process (MDP) framework is used to optimize the packet parameters in each round of L‐HARQ process under the general fading scenario. Thereby, the optimized transmission scheme that minimizes AoI with throughput constraint is solved. The simulations investigate the effect of system parameters on the average AoEI.

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